double ComputeWidth(ImageDetection Input)
{
double X0Angle = Input.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMajorAngle;
/* Rotation matrix: { { Cos(-X0Angle), -Sin(-X0Angle) }, { Sin(-X0Angle), Cos(-X0Angle) } } */
double YSsum = 0, Ysum = 0;
if (Input.TryFetchProperty(out ObjectPoints op))
{
var pixelPoints = op.PixelPoints;
foreach (PixelPoint pp in pixelPoints)
{
double nY = pp.Y * Cos(X0Angle) - pp.X * Sin(X0Angle);
YSsum += nY * nY;
Ysum += nY;
}
YSsum /= pixelPoints.Length;
Ysum /= pixelPoints.Length;
YSsum -= Ysum * Ysum;
return(2 * Sqrt(YSsum));
}
else
{
return(0);
}
}
/// <summary>Checks whether a pair of detections makes reasonable sense to become a candidate object.</summary>
bool VerifyPair(ImageDetection a, ImageDetection b)
{
if (a.TryFetchProperty(out PairingProperties ppa) && b.TryFetchProperty(out PairingProperties ppb))
{
if (ppa.StarPolluted | ppb.StarPolluted)
{
return(false);
}
}
double ErrRad = MaxLinErrorArcSec * Math.PI / 180 / 3600;
double MsizeLD = (a.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMajor + b.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMajor) * 2;
MsizeLD *= a.ParentImage.Transform.GetEstimatedWCSChainDerivative();
double Mdistance = (a.Barycenter.EP ^ b.Barycenter.EP);
double DeltaABTimeS = (b.Time.Time - a.Time.Time).TotalSeconds;
double TExpTime = a.Time.Exposure.TotalSeconds + b.Time.Exposure.TotalSeconds;
/* If the distance is too large for light sources too small, no need to check further */
if ((MsizeLD + ErrRad) * DeltaABTimeS < Mdistance * TExpTime)
{
return(false);
}
return(true);
}
public void TryPairDot(ImageDetection a, ImageDetection b)
{
if (a.FetchProperty <PairingProperties>().IsPaired || b.FetchProperty <PairingProperties>().IsPaired)
{
return;
}
TimeSpan DeltaTime = b.Time.Time - a.Time.Time;
var Line = b.Barycenter.EP - a.Barycenter.EP;
double PairEstimatedDistance = ~Line;
if (PairEstimatedDistance > MaxVDD * DeltaTime.TotalMinutes)
{
return;
}
if (PairEstimatedDistance < MinVDD * DeltaTime.TotalMinutes)
{
return;
}
double PairEstimatedDistanceError = 2 * (a.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMajor + b.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMajor);
PairEstimatedDistanceError *= a.ParentImage.Transform.GetEstimatedWCSChainDerivative();
double PairEstimatedVelocity = PairEstimatedDistance / DeltaTime.TotalSeconds;
double PairEstimatedVelocityError = PairEstimatedDistanceError / DeltaTime.TotalSeconds;
List <List <ImageDetection> > DetectedInPool = new List <List <ImageDetection> >();
List <ImageDetection[]> DIPAr = new List <ImageDetection[]>();
foreach (DateTime dt in ObsTimes)
{
TimeSpan tsp = dt - b.Time.Time;
double EstDistance = PairEstimatedVelocity * tsp.TotalSeconds;
double EstDistError = Math.Abs(PairEstimatedVelocityError * tsp.TotalSeconds) + PairEstimatedDistanceError;
EquatorialPoint EstimatedPoint = Line + EstDistance;
var DetectionsList = DetectionPool.Query(EstimatedPoint.RA, EstimatedPoint.Dec, EstDistError);
DetectionsList.RemoveAll((x) => ((x.Barycenter.EP ^ EstimatedPoint) > EstDistError) || (x.Time.Time != dt) || !x.FetchProperty <PairingProperties>().IsDotDetection);
//DetectedInPool.Add(DetectionsList);
DIPAr.Add(DetectionsList.ToArray());
}
int i, c = 0;
for (i = 0; i < DIPAr.Count; i++)
{
if (DIPAr[i].Length != 0)
{
c++;
}
}
if (c >= 3)
{
CandidatePairings.Add(DIPAr.ToArray());
foreach (ImageDetection[] mdl in DIPAr)
{
foreach (ImageDetection m in mdl)
{
m.FetchProperty <PairingProperties>().IsPaired = true;
}
}
}
}
public bool Filter(ImageDetection Input)
{
if (Input.TryFetchProperty(out ObjectPoints op))
{
return(op.PixelPoints.Length > MinPix || Input.FetchOrCreate <PairingProperties>().IsDotDetection);
}
else
{
return(true);
}
}
/// <summary>Filters tracklets dependent on a <paramref name="Detection"/> from the list.</summary>
private void Filter(ImageDetection Detection)
{
for (int i = 0; i < CurrentTracklets.Count; i++)
{
if (CurrentTracklets[i].Detections.Contains(Detection) && CurrentTracklets[i].Detections.Length == 3)
{
CurrentTracklets.RemoveAt(i); i--;
}
}
RefreshTrackletList();
}
/// <summary>Attempts to find a tracklet given 2 image detections (from separate images).</summary>
void AnalyzePair(ImageDetection a, ImageDetection b)
{
/* Figure out line vector */
double SepSec = (b.Time.Time - a.Time.Time).TotalSeconds;
LinearRegression.LinearRegressionParameters RAT = LinearRegression.ComputeLinearRegression(new double[] { 0, SepSec },
new double[] { a.Barycenter.EP.RA, b.Barycenter.EP.RA });
LinearRegression.LinearRegressionParameters DecT = LinearRegression.ComputeLinearRegression(new double[] { 0, SepSec },
new double[] { a.Barycenter.EP.Dec, b.Barycenter.EP.Dec });
/* Search for objects */
List <ImageDetection[]> Dects = new List <ImageDetection[]>();
foreach (DateTime dt in ObsTimes)
{
/* Compute estimated position */
TimeSpan tsp = dt - a.Time.Time;
double tspSeconds = tsp.TotalSeconds;
EquatorialPoint eqp = new EquatorialPoint()
{
RA = RAT.Intercept + RAT.Slope * tspSeconds, Dec = DecT.Intercept + DecT.Slope * tspSeconds
};
/* Limit is given by a triangle with the maximum residuals */
List <ImageDetection> ImDL = FindSourcesAround(a, b, dt, eqp, SearchExtraSmall);
if (ImDL.Count == 0)
{
ImDL = FindSourcesAround(a, b, dt, eqp, SearchExtraBig);
}
Dects.Add(ImDL.ToArray());
}
/* If it can be found on at least 3 images, consider it a detection */
int i, c = 0;
for (i = 0; i < Dects.Count; i++)
{
if (Dects[i].Length != 0)
{
c++;
}
}
if (c >= 3)
{
CandidatePairings.Add(Dects.ToArray());
foreach (ImageDetection[] mdl in Dects)
{
foreach (ImageDetection m in mdl)
{
m.FetchOrCreate <PairingProperties>().IsPaired = true;
}
}
}
}
private void ArDel_ImageDetected(object sender, ImageDetection e)
{
Vibration.Vibrate();
var v = new SCNVector3(
e.Anchor.Transform.Column3.X,
e.Anchor.Transform.Column3.Y,
e.Anchor.Transform.Column3.Z);
PlaceCube(v);
scnView.Session.RemoveAnchor(e.Anchor);
}
/// <summary>
/// Finds <see cref="ImageDetection"/>s around the estimated position from other detections.
/// </summary>
/// <param name="a">First reference detection.</param>
/// <param name="b">Second reference detection.</param>
/// <param name="dt">Time at which to find the new detection.</param>
/// <param name="eqp">Estimated location of the new detection.</param>
/// <param name="radius">Search radius around the estimated location.</param>
/// <returns>A list of <see cref="ImageDetection"/> that match the given conditions.</returns>
private List <ImageDetection> FindSourcesAround(ImageDetection a, ImageDetection b, DateTime dt, EquatorialPoint eqp, double radius)
{
double SepSec = (b.Time.Time - a.Time.Time).TotalSeconds;
TimeSpan tsp = dt - a.Time.Time;
double tspSeconds = tsp.TotalSeconds;
double RadiusArcSec = tspSeconds * MaxLinErrorArcSec / SepSec + radius;
double RadiusRad = RadiusArcSec * Math.PI / 180 / 3600;
var ImDL = DetectionPool.Query(eqp.RA, eqp.Dec, RadiusRad);
ImDL.RemoveAll((x) => ((x.Barycenter.EP ^ eqp) > RadiusRad) || Math.Abs((x.Time.Time - dt).TotalSeconds) > .1 || !Line3Way(a, b, x));
return(ImDL);
}
public bool Filter(ImageDetection Input)
{
double Th = ImgMean + ImgSigma * SigmaTop;
if (Input.TryFetchProperty(out ObjectPoints op))
{
double[] pv = new double[op.PixelValues.Length];
Buffer.BlockCopy(op.PixelValues, 0, pv, 0, pv.Length * sizeof(double));
Array.Sort(pv);
if (pv[pv.Length / 10] > Th)
{
return(false);
}
}
return(true);
}
/// <summary>Checks whether 3 points are collinear.</summary>
bool Line3Way(ImageDetection a, ImageDetection b, ImageDetection c)
{
double BSec = (b.Time.Time - a.Time.Time).TotalSeconds;
double CSec = (c.Time.Time - a.Time.Time).TotalSeconds;
double RAT = LineFit.ComputeResidualSqSum(new double[] { 0, BSec, CSec },
new double[] { a.Barycenter.EP.RA, b.Barycenter.EP.RA, c.Barycenter.EP.RA });
double DecT = LineFit.ComputeResidualSqSum(new double[] { 0, BSec, CSec },
new double[] { a.Barycenter.EP.Dec, b.Barycenter.EP.Dec, c.Barycenter.EP.Dec });
double ErrRad = MaxLinErrorArcSec * Math.PI / 180 / 3600;
if (RAT + DecT > ErrRad * ErrRad)
{
return(false);
}
else
{
return(true);
}
}
public bool PairPossible(ImageDetection a, ImageDetection b)
{
PairingProperties App = a.FetchOrCreate <PairingProperties>(), Bpp = b.FetchOrCreate <PairingProperties>();
if (App.IsPaired || Bpp.IsPaired)
{
return(false);
}
if (App.StarPolluted || Bpp.StarPolluted)
{
return(false);
}
if (a.Time.Time == b.Time.Time)
{
return(false);
}
TimeSpan DeltaTime = a.Time.Time - b.Time.Time;
//if ((a.LargestDistance + b.LargestDistance) * Math.Abs(DeltaTime.TotalSeconds) < (a.Barycenter.EP ^ b.Barycenter.EP) * (a.Time.Exposure.TotalSeconds + b.Time.Exposure.TotalSeconds) / 2) return false;
SourceEllipse aPel = a.FetchProperty <ObjectSize>().PixelEllipse, bPel = b.FetchProperty <ObjectSize>().PixelEllipse;
if (aPel.SemiaxisMajor > LongTrailHighThreshold * LongTrailHighThreshold)
{
if (bPel.SemiaxisMajor < LongTrailLowThreshold * LongTrailLowThreshold)
{
return(false);
}
}
double DeltaAngle = aPel.SemiaxisMajorAngle - bPel.SemiaxisMajorAngle;
double Length = aPel.SemiaxisMajor + bPel.SemiaxisMajor;
if (DeltaAngle * DeltaAngle * Math.Sqrt(Length) > AngleDistanceDifferenceThreshold)
{
return(false);
}
return(true);
}
/// <summary>
/// Filters detections matching a condition.
/// </summary>
/// <param name="Detection">Model detection.</param>
/// <param name="Filter">Filtering predicate.</param>
/// <param name="Parameter">Predicate parameter.</param>
private void FilterByDetection(ImageDetection Detection, DetectionFilteringCondition Filter, double Parameter)
{
for (int i = 0; i < CurrentTracklets.Count; i++)
{
if (CurrentTracklets[i].Detections.Any((x) => Filter(Detection, x, Parameter)))
{
if (CurrentTracklets[i].Detections.Length == 3)
{
CurrentTracklets.RemoveAt(i); i--;
}
else
{
var r = CurrentTracklets[i].Detections.Where((x) => !Filter(Detection, x, Parameter)).ToArray();
if (r.Length < 3)
{
CurrentTracklets.RemoveAt(i);
}
}
}
}
RefreshTrackletList();
}
/// <summary>Filters all detections within a <paramref name="RadRadius"/> radius from the <paramref name="Detection"/>.</summary> private static bool ConditionRadius(ImageDetection Detection, ImageDetection x, double RadRadius) => (x.Barycenter.EP ^ Detection.Barycenter.EP) < RadRadius;
static ImageDetection Transform(ObsEntry Entry, FitsImage AssociatedImage)
{
EquatorialPoint eqp = new EquatorialPoint()
{
RA = Entry.RA / 180 * Math.PI, Dec = Entry.Dec / 180 * Math.PI
};
PixelPoint pp = new PixelPoint()
{
X = Entry.X, Y = Entry.Y
};
Position p = new Position(eqp, pp);
ImageDetection det = new ImageDetection(p, AssociatedImage.GetProperty <ObservationTime>(), AssociatedImage);
bool Ellipse = false;
ObjectSize sz = new ObjectSize();
if (Entry.A.HasValue && Entry.B.HasValue)
{
sz.PixelEllipse = new SourceEllipse()
{
SemiaxisMajor = Entry.A.Value, SemiaxisMinor = Entry.B.Value
};
Ellipse = true;
}
else if (Entry.FWHM.HasValue && Entry.Ellipticity.HasValue)
{
sz.PixelEllipse = new SourceEllipse()
{
SemiaxisMajor = Entry.FWHM.Value / Math.Sqrt(1 - Entry.Ellipticity.Value),
SemiaxisMinor = Entry.FWHM.Value * Math.Sqrt(1 - Entry.Ellipticity.Value),
};
Ellipse = true;
}
if (Ellipse)
{
if (Entry.EllipseTheta.HasValue)
{
sz.PixelEllipse.SemiaxisMajorAngle = Entry.EllipseTheta.Value / 180 * Math.PI;
}
det.AppendProperty(sz);
}
PairingProperties pprop = new PairingProperties()
{
IsDotDetection = Ellipse && (sz.PixelEllipse.SemiaxisMajor < 2 * sz.PixelEllipse.SemiaxisMinor),
IsPaired = false,
PearsonR = 0,
StarPolluted = false,
Algorithm = DetectionAlgorithm.SourceExtractor
};
det.AppendProperty(pprop);
if (Entry.Flux.HasValue)
{
ObjectPhotometry oph = new ObjectPhotometry()
{
Flux = Entry.Flux.Value, Magnitude = Entry.Mag.Value
};
det.AppendProperty(oph);
}
return(det);
}
public bool Filter(ImageDetection Input)
{
PixelPoint pp = Input.Barycenter.PP;
return(!BadAreas.Any((x) => x.IsInside(pp)));
}
/// <summary>Filters all detection with X coordinates within <paramref name="XDelta"/> from the <paramref name="Detection"/>.</summary> private static bool ConditionX(ImageDetection Detection, ImageDetection x, double XDelta) => Math.Abs(x.Barycenter.PP.X - Detection.Barycenter.PP.X) < XDelta;
/// <summary>Filters all detection with Y coordinates within <paramref name="YDelta"/> from the <paramref name="Detection"/>.</summary> private static bool ConditionY(ImageDetection Detection, ImageDetection x, double YDelta) => Math.Abs(x.Barycenter.PP.Y - Detection.Barycenter.PP.Y) < YDelta;
/// <inheritdoc/> public bool Filter(ImageDetection Input) => !(Input.FetchProperty <ObjectPhotometry>().Flux > BrightnessThreshold * Input.FetchProperty <ObjectPoints>().PixelPoints.Length&& Input.FetchProperty <ObjectSize>().PixelEllipse.SemiaxisMinor < ThicknessThreshold);
/// <inheritdoc/>
public bool Filter(ImageDetection Input)
{
double Width = ComputeWidth(Input); return(Width <= MaxLineThickness);
}
/// <summary>
/// Attempts to recover a detection on a given image, comparing with the entire set of exposures.
/// </summary>
/// <returns><c>true</c>, if detection was recovered, <c>false</c> otherwise.</returns>
/// <param name="DetPos">Position of the detection to recover.</param>
/// <param name="Img">Image on which to recover.</param>
/// <param name="Radius">Maximum radius of the detection.</param>
/// <param name="InputImages">Input images.</param>
/// <param name="Recovered">Recovered detection.</param>
public bool RecoverDetection(Position DetPos, Image Img, double Radius, IEnumerable <Image> InputImages, out ImageDetection Recovered)
{
Recovered = null;
DotDetector.DotDetection dd = Recover(DetPos.PP, Radius, Img);
if (dd.Pixels.Count < MinPix)
{
return(false);
}
int NoiseCnt = 0;
int FixedCnt = 0;
foreach (Image img in InputImages)
{
/* Noise scanner -- same position in pixel coordinates */
DotDetector.DotDetection detN = Recover(dd.Barycenter, Radius, img);
PixelPoint npp = img.Transform.GetPixelPoint(Img.Transform.GetEquatorialPoint(dd.Barycenter));
/* Star scanner -- same position in equatorial coordinates */
DotDetector.DotDetection detF = Recover(npp, Radius, img);
if (detN.Pixels.Count > NoisePixelThreshold * dd.Pixels.Count)
{
NoiseCnt++;
}
if (detF.Flux > StarFluxThreshold * dd.Flux)
{
EquatorialPoint org = DetPos.EP;
EquatorialPoint nw = img.Transform.GetEquatorialPoint(detF.Barycenter);
if ((org ^ nw) < MinMoveArcSec)
{
FixedCnt++;
}
}
}
if (NoiseCnt > CrossMatchRemove)
{
return(false);
}
if (FixedCnt > CrossMatchRemove)
{
return(false);
}
Recovered = StandardDetectionFactory.CreateDetection(Img, dd.Pixels, dd.PixelValues);
return(true);
}
